Rich visualizations

This webpage presents a multi-view stereo / 3D reconstruction benchmark covering a variety of indoor and outdoor scenes.
Ground truth geometry has been obtained using a high-precision laser scanner.
A DSLR camera as well as a synchronized multi-camera rig with varying field-of-view was used to capture images.
We offer the following challenges:

13 training and 12 test scenes (data / results) for high-resolution multi-view stereo with images recorded by the DSLR camera

For a detailed description of the data and the format in which it is provided, see Documentation.
For downloading the datasets, go to Datasets.
Open source code related to the benchmark is available on GitHub.
The ETH3D benchmark is a part of the Robust Vision Challenge.